Company Description
The Bosch Group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.
Bosch Car Multimedia, S.A. belongs to the Automotive Electronics division and is focused on making the vehicles our third living space. About 3.600 associates are committed to develop and produce high quality technology that shape change in mobility worldwide. The company' success lies in its highly specialized and innovative team, and on the technological know-how which makes Bosch the leading supplier in the automotive market.
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.
Job Description
Your contribution to something big:
Join us in shaping the future of software engineering through Generative AI. As an AI-Assisted Software Engineering Intern, you will contribute to the development of innovative AI-powered solutions that support software engineers throughout the Software Development Life Cycle (SDLC). Working alongside experienced engineers, you will research, prototype, and evaluate technologies that help improve development efficiency, software quality, and developer experience.
In this role, you will:
- Research emerging AI-assisted software engineering workflows and identify opportunities to apply Generative AI across the SDLC.
- Design and develop automated solutions using LLM APIs, prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and context-window optimization techniques.
- Support the integration of AI-powered tools into software development workflows, CI/CD pipelines, and cloud environments.
- Define and implement metrics to evaluate the impact of AI solutions on productivity, software quality, usability, and adoption.
- Collaborate with software engineers to gather feedback, validate concepts, and continuously improve developed solutions.
- Contribute through code reviews, technical documentation, demonstrations, and knowledge-sharing activities.
- Explore and evaluate emerging AI technologies and translate them into practical developer tools.
Qualifications
What distinguishes you?
Education:
- Final-year Bachelor's or Master's student, or recent graduate (less than one year), in Software Engineering, Computer Engineering, Computer Science, Artificial Intelligence, or a related field.
Experience:
- Initial academic, personal, or internship experience in software development or AI-related projects.
- Exposure to Generative AI technologies and modern software development practices is advantageous.
Know-how:
- Knowledge of Python programming; experience with C or C++ is a plus.
- Familiarity with some of the following areas: LLM APIs, prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, CI/CD pipelines, cloud platforms, or AI-assisted development tools.
- Understanding of software development processes and developer workflows.
Languages:
- Good communication skills in English, both written and spoken.
Working Style and Methods:
- Structured and analytical approach to problem-solving.
- Ability to learn independently and experiment with new technologies.
- Interest in transforming innovative AI concepts into practical engineering solutions.
Personality:
- Curious, proactive, and eager to learn.
- Collaborative team player with strong communication skills.
- Passionate about software engineering, emerging technologies, and continuous improvement.
What you can expect to learn
- How Generative AI can enhance software engineering activities across the Software Development Life Cycle.
- How to design, build, and integrate AI-powered developer tools using LLMs, RAG, AI agents, cloud services, and CI/CD platforms.
- How to measure the impact of AI solutions through meaningful metrics and developer-centric evaluations.
- How to bring innovative ideas from research and prototyping to adoption in real-world software development environments.
- How AI-driven engineering practices are applied in an international industrial environment.
At Bosch, we value diversity and equal opportunities. We welcome applications from candidates of all backgrounds, experiences, and perspectives.
Additional Information
Work #LikeABosch means:
⚖️ Flexible work conditions
🔀 Hybrid work system
🌐 Exchange with colleagues around the world
🧑⚕️ Health insurance and medical office on site
📚 Training opportunities
📈 Opportunities for career progression and continuous professional development
💲 Access to great discounts in partnerships and Bosch products
🏋️ Sports and health related activities
🚉 Great access to public transports
🅿️ Free parking lot
🍽️ Canteen
Success stories don´t just happen. They are made...
Make it happen! We are looking forward to your application!